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Optimized TCN-ARIMA-GARCH for Chili Prices by margolangjulfansyah is a document available to read on EtoBox.

What is Optimized TCN-ARIMA-GARCH for Chili Prices about?

This study presents a hybrid TCN-ARIMA-GARCH model optimized with Particle Swarm Optimization and Bayesian techniques to analyze chili price volatility. The model achieves a prediction accuracy of up to 95%, addressing the challenges of price fluctuations that affect farmers and the agricultural sector. By integrating intelligent optimization, the model enhances forecasting capabilities, providing a valuable tool for decision-making in agriculture.

Author

margolangjulfansyah

Language

EN